• DocumentCode
    1636137
  • Title

    Business rules generation methods by merging model driven architecture and web semantics

  • Author

    Musumbu, Kaninda ; Diouf, Mouhamed ; Maabout, Sofian

  • Author_Institution
    LaBRI, Univ. Bordeaux 1, Talence, France
  • fYear
    2010
  • Firstpage
    33
  • Lastpage
    36
  • Abstract
    The increasing complexity of the information systems must be taking into account for new technologies, and the appearance of new types of requirements raise new problems that the traditional engineering approaches of the information systems cannot always solve in an adapted way. Business Rules constitute a key element of the Semantic Web vision, allowing integration, derivation, and transformation of data from multiple sources in a distributed, transparent and scalable manner. The aim of this paper is to propose a way to automatically generate a part of the business rules by combining concepts coming from Model Driven Architecture and Semantic Web using the Ontology Definition Metamodel.
  • Keywords
    business data processing; information systems; ontologies (artificial intelligence); semantic Web; software architecture; Web semantics; business rules generation; data derivation; data integration; data transformation; information system; model driven architecture; ontology definition metamodel; semantic Web; Business; Computational modeling; OWL; Ontologies; Semantics; Unified modeling language;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Sciences (ICSESS), 2010 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6054-0
  • Type

    conf

  • DOI
    10.1109/ICSESS.2010.5552332
  • Filename
    5552332